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Scientometrics

, Volume 91, Issue 2, pp 631–644 | Cite as

Mapping interactions within the evolving science of science and innovation policy community

  • Angela M. Zoss
  • Katy Börner
Article

Abstract

The Science of Science and Innovation Policy (SciSIP) program at the National Science Foundation (NSF) supports research designed to advance the scientific basis of science and innovation policy. The program was established at NSF in 2005 in response to a call from Dr. John Marburger III, then science advisor to the U.S. President, for a “science” of science policy. As of January 2011, it has co-funded 162 awards that aim to develop, improve, and expand data, analytical tools, and models that can be directly applied in the science policy decision making process. The long-term goals of the SciSIP program are to provide a scientifically rigorous and quantitative basis for science policy and to establish an international community of practice. The program has an active listserv that, as of January 2011, has almost 700 members from academia, government, and industry. This study analyzed all SciSIP awards (through January 2011) to identify existing collaboration networks and co-funding relations between SciSIP and other areas of science. In addition, listserv data was downloaded and analyzed to derive complementary discourse information. Key results include evidence of rich diversity in communication and funding networks and effective strategies for interlinking researcher and science policy makers, prompting discussion, and resource sharing.

Keywords

Mixed methods Content analysis Collaboration networks Community mapping 

Notes

Acknowledgments

This work is funded in part by the James S. McDonnell Foundation, the National Science Foundation under award SBE-0738111, and the National Institutes of Health under award NIH U24RR029822. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation. This article is an extended version of a paper presented at the 13th International Conference on Scientometrics and Informetrics, Durban (South Africa), 4–7 July 2011 (Zoss & Börner, 2011).

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Copyright information

© Akadémiai Kiadó, Budapest, Hungary 2011

Authors and Affiliations

  1. 1.Cyberinfrastructure for Network Science Center, School of Library and Information ScienceIndiana UniversityBloomingtonUSA

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